latent classes

fit calculation for models

Chi2 LL Parameters n AIC BIC Entropy
25275.567 -2868.679 21 796 5779.358 5877.630 0.874
1444.792 -2605.461 32 796 5274.922 5424.669 0.920
1377.645 -2534.143 43 796 5154.286 5355.509 0.899
1137.275 -2495.457 54 796 5098.915 5351.613 0.928
839.238 -2470.479 65 796 5070.959 5375.133 0.935

Class sizes

## Reading model:  ./mplus/mode_switch_lca_5.out
class count proportion
1 36.58109 0.04596
2 51.96489 0.06528
3 95.05215 0.11941
4 126.25947 0.15862
5 486.14241 0.61073

Models predicting latent classes

Explaining response and mode in wave 10
Response m1 Response m2 Face to face m1 Face to face m2
Intercept 0.12*** 0.62*** 0.19*** 0.86***
(0.03) (0.08) (0.04) (0.15)
Edu: A level 0.00 0.01 -0.02 -0.03
(0.02) (0.02) (0.03) (0.03)
Edu: GCSE 0.02 0.02 0.01 -0.01
(0.02) (0.02) (0.03) (0.03)
Edu: Other 0.05 0.03 0.00 -0.01
(0.03) (0.03) (0.04) (0.04)
Age: 36-55 -0.04 -0.02 -0.02 -0.01
(0.03) (0.03) (0.04) (0.03)
Age: 56-75 -0.09** -0.07** -0.04 -0.04
(0.03) (0.03) (0.04) (0.04)
Age: >75 -0.11* -0.09* 0.05 0.03
(0.04) (0.04) (0.05) (0.05)
Female -0.03 -0.02 0.00 0.00
(0.02) (0.02) (0.02) (0.02)
Partner 0.00 0.01 -0.04 -0.04
(0.02) (0.02) (0.03) (0.03)
Urban 0.01 0.02 -0.05 -0.05*
(0.02) (0.02) (0.03) (0.03)
London 0.01 0.02 -0.00 -0.01
(0.04) (0.03) (0.05) (0.05)
North -0.01 -0.00 -0.05* -0.06**
(0.02) (0.02) (0.02) (0.02)
Wave 9 f2f -0.02 0.00 0.68*** 0.49***
(0.03) (0.04) (0.03) (0.06)
Class: Fast switchers -0.50*** -0.71***
(0.08) (0.15)
Class: Slow switchers -0.47*** -0.62***
(0.08) (0.15)
Class: Face to face respondents -0.56*** -0.44**
(0.08) (0.15)
Class: Web respondents -0.55*** -0.68***
(0.07) (0.15)
R2 0.03 0.11 0.45 0.48
Adj. R2 0.01 0.09 0.44 0.47
Num. obs. 734 734 689 689
RMSE 0.24 0.23 0.30 0.29
Degree, under 36, rural, male, wave in wave 9 and Class: ‘Swtich and non-response’ are refrences